2016
DOI: 10.2139/ssrn.2964054
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The Effect of Social and News Media Sentiments on Financial Markets

Tianyou Hu
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Cited by 7 publications
(9 citation statements)
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References 21 publications
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“…By contrast, Antweiler and Frank (2004) and Kim and Kim (2012) find no support for the hypothesis that the sentiment of social media messages contains financially relevant information in terms of its association with stock returns. Interestingly, Hu and Tripathi (2016) obtain results that lend support for the value relevance of sentiment extracted from stock forums, as opposed to media news platforms. The study is revealing as its findings implicate the presumable superiority of social media over other types of media, including online, in conveying sentiment signals potentially leading to additional market returns.…”
Section: Sentiment Analysis Literaturementioning
confidence: 74%
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“…By contrast, Antweiler and Frank (2004) and Kim and Kim (2012) find no support for the hypothesis that the sentiment of social media messages contains financially relevant information in terms of its association with stock returns. Interestingly, Hu and Tripathi (2016) obtain results that lend support for the value relevance of sentiment extracted from stock forums, as opposed to media news platforms. The study is revealing as its findings implicate the presumable superiority of social media over other types of media, including online, in conveying sentiment signals potentially leading to additional market returns.…”
Section: Sentiment Analysis Literaturementioning
confidence: 74%
“…In Japan, Okada and Yamasaki (2014) demonstrate that mid-year stock market return seasonality as reflected in the saying 'sell in May and go away' is almost perfectly associated with the sentiment proxy they adapted and extracted from Japanese media news. The most recent studies mine not only online newspapers columns, but also the most influential newswires such as Dow Jones, Thomson Reuters, and Google Finance (Heston and Sinha, 2014, Chouliaras, 2015, Hu and Tripathi, 2016.…”
Section: Sentiment Analysis Literaturementioning
confidence: 99%
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“…LinkedIn was the most popular platform helping financial professionals to develop their expertise and expand business. The findings of Hu and Tripathi (2016) suggest that information available on social media does not overlap with information accessible through news media. Thus, social media are additional or complementary sources of news, rather than the substitutive information channel.…”
Section: Social Media As An Information Sourcementioning
confidence: 93%
“…Given today co-existence of social media and traditional news media (newspaper or online news media), the authors in [25] compare the performance of social media and news media in predicting returns in the Australian market. It is clear that social media outperforms traditional media on the capability for readers to interact or further spread information.…”
Section: Introductionmentioning
confidence: 99%